similar to: Genetic algorithm for feature selection

Hi, I'm new to R and have a problem with a little test program (see below). Why doesn't <<- in function rk4 assign the new value to y so that it is seen in rktest. I thought that <<- does exactly this. But it seems that I didn't get it right. I would be very appreciative for an explanation of that behaviour of <<-. I know how to write the whole thing so that it

Hi, I am looking for genetic optimization package that allow to define my own chromosome solution and crossover/mutation opoerations. I checked genoud and genopt, not with much effort of 'cause, with no luck. Any one can shed some light on this? thanks.

Dear Community, The ponyc<https://github.com/CausalityLtd/ponyc/tree/llvm37> (llvm37 branch) project is facing an issue on Windows: When optimizations are turned on (llvm 3.7.0-final and more specifically<https://github.com/CausalityLtd/ponyc/blob/llvm37/src/libponyc/codegen/genopt.cc>, opt-level 3, BBVectorize, LoopVectorize, SLPVectorize, RerollLoops, LoadCombine + a custom heap

This got me into thinking. Indeed the problem is related to Windows exceptions, so I am not sure whether the bug reported<https://llvm.org/bugs/show_bug.cgi?id=24374> is actually fixed. Compiling Pony code (helloworld) that includes no exceptions does work fine (with optimizations). As soon as exceptions on windows come into play, writing the object file dies with the mentioned error in

Hi, I am doing some research on feature selection for classfication problem using genetic algorithm in a wrapper approach. I am wondering if there is some package which is already built for this purpose. I was advised before about dprep package but I don't think it used GA there (if I am wrong, please correct me!) Thanks, Ed

Hi Everyone, I need to use genetic algorithm to find the minimum. The problem is, I cannot define the fitness function, but I can build a neural network from the input data and use the output as a fitness function. Can this be done? The other problem is, I know there are a few package in R related to GA. So far I know all of them take a specific function as fitness function, is

OK, here is some code that may be of use to someone: http://www.progsoc.uts.edu.au/~telford/samples/R/gafit_0.1.tar.gz Hopefully it might make contrib status on CRAN :-) It uses a genetic algorithm to seek the lowest value of some user-defined target function (or seeks the most negative value if negative values are possible). By using a sum of squared residuals for the target function, it

Hi, we have some code that does variable selection with a genetic algorithm or simulated annealing, using a linear regression routine or neural network as the objective function. This code is a mixture of fortran and C. The code is more than 15 years old and I am planning to rework it. Though a C rewrite would be good for efficiency, I would like to protoype it quickly in R and see how it

Hello all, I am trying to implement a simple Genetic Algorithm. I am doing this in R since I want access to the statistical functions (eg lm) it provides. I'm not new to programming, or GAs, but I am totally new to R (the package and the language), and I am hoping someone could help with these questions: 1. I am going to use a binary representation, it seems that vectors of Factors would

Dear List, I'm using glmulti for model averaging in R. There are ~10 variables in my model, making exhaustive screening impractical - I therefore need to use the genetic algorithm (GA) (call: method = "g"). I need to include random effects so I'm using glmulti as a wrapper for lme4. Methods for doing this are available here

The command below was run on FreeBSD 7.2 with rsync-3.0.3. The command works but copies all files, i.e. no hard links created. rsync -vaxH --numeric-ids --delete --exclude=/home/apache/logs \ --link-dest=/mnt/200912/newharbor/home -e ssh newharbor.safeport.com:/home \ 201001/newharbor/home/ The command was run without the continuation breaks that I added for readability. The command

… Also, it doesn’t appear that you are running on windows… From: David Majnemer Date: Saturday 12 September 2015 18:31 To: Sebastian Blessing Cc: Reid Kleckner, "llvm-dev at lists.llvm.org<mailto:llvm-dev at lists.llvm.org>" Subject: Re: [llvm-dev] Optimizer issues on Windows $ ~/llvm/Debug+Asserts/bin/llc try.ll $ echo $? 0 On Sat, Sep 12, 2015 at 6:39 AM, Sebastian Blessing

Hello, I wanted to test the odesolve package and tried to use compiled C-code. But when I do: erg <- lsoda(y, times, "mond", parms, rtol, atol, tcrit=NULL, jacfunc=NULL, verbose=FALSE, dllname="mond", hmin=0, hmax=Inf) I get the error message: Error in lsoda(y, times, "mond", parms, rtol, atol, tcrit = NULL, jacfunc =

Can PHP 5.3.3 be installed on CentOS 5.3, or is it not compatable, and if so what is the recommended version of CentOS to use? Thanks, Robert Anstruther. SQA Dalkeith is moving. From 21 November 2011 our address will be; Lowden, 24 Wester Shawfair, Dalkeith, Midlothian, EH22 1FD. There is no change to the address for SQA Glasgow.

On Nov 18, 2008, at 11:24 AM, Villmow, Micah wrote: > Is there a way to tell LLVM to treat Boolean results as 32bit values > instead of 1 bit values? LLVM IR doesn't have a concept of C level booleans. What problem are you trying to solve? -Chris > > Thanks, > > Micah Villmow > Systems Engineer > Advanced Technology & Performance > Advanced Micro Devices

Hello, I'm new to R, I have two questions: Is there some implementation og Genetic Algorithms in R? Is there a pre-dvi'd manual of R? thanks. E. Crespi. -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the

Hi all, This is really a stats question as much as an R question. I'm trying to do a joint scaling test (JST - see below) on some very oddly-distributed data and was wondering if anyone can suggest a good way of dealing with model violations and/or using R to evaluate how sensitive the model is to violations of the normality assumption. Here's a quick explanation of the analysis, the

mcga 1.1 (machine coded genetic algorithms) package implements a genetic algorithm optimisation tool with machine coded chromosomes. The machine coded chromosomes stand for chromosomes that are not decoded and encoded. The byte representation of 'double' type variables are crossed-over and mutated. This is different from the binary coded and real coded genetic algorithms. Linux and

mcga 1.1 (machine coded genetic algorithms) package implements a genetic algorithm optimisation tool with machine coded chromosomes. The machine coded chromosomes stand for chromosomes that are not decoded and encoded. The byte representation of 'double' type variables are crossed-over and mutated. This is different from the binary coded and real coded genetic algorithms. Linux and

Dear R Users, I am a novice learner of R software. I am working with Genetic Matching - GenMatch(), but I am getting an Error message as follows:  Error in GenMatch(Tr = Tr, X = X.binarynp, BalanceMatrix = BalanceMatrix.binarynp,  :    GenMatch(): input includes NAs Could you please suggest me correcting the above problem? My GenMatch command is, > gen1 <- GenMatch(Tr = Tr, X =